碳交易背景下的航班调度与机型分配优化研究
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南京航空航天大学

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U8????????????????

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教育部人文社会科学基金项目[23YJC790027]


Research on Flight Scheduling and Fleet Assignment Optimization under the background of carbon trading
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Humanities and Social Science Fund of Ministry of Education [No. 23YJC790027]

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    摘要:

    实施碳交易机制是航空公司实现低碳减排和降低运营成本的一项重要举措,航班调度和机型分配也是影响航空公司碳排放和运营收益的关键一环。本文将两者综合考虑,首先根据航空器不同运行阶段的特点,分别构建了两个阶段的碳排放测算模型:在起降循环(Land and Take off, LTO)阶段根据国际民航组织(International Civil Aviation Organization, ICAO)的航空器发动机燃油标准建立测算模型;巡航阶段根据多重影响因素建立多元回归预测模型。此基础上,以航空公司收益最大化为目标,建立航班调度与机型分配的混合整数线性优化模型,分别设置考虑碳交易成本与不考虑碳交易成本两种情景,对航线网络进行优化。选取某航空公司2019年的实际运营数据进行验证,计算结果表明,本文提出的全程碳排放测算模型具有较高准确性,其误差均值为1.64%。在未考虑碳交易成本的情景下,运营收益增幅达到了7.26%;在考虑碳交易成本的情景下,可以显著降低碳排放成本4.71%,同时提高运营利润3.28%,实现了航空公司低碳减排优化和运营收益提升的双重效果,可为航空公司的运营策略提供一定的理论指导。

    Abstract:

    The carbon trading mechanism is an important measure for airlines to achieve low-carbon emissions reduction and reduce operating costs, and flight scheduling and fleet assignment are key factors affecting airlines' carbon emissions and operating profits. This article comprehensively considers both aspects. Firstly, based on the characteristics of different operational stages of the aircraft, two carbon emission calculation models were constructed for each stage: during the Land and Take off (LTO) stage, a CO2 emission calculation model was established according to the fuel standards of the aircraft engine of International Civil Aviation Organization (ICAO); Establish a multiple regression prediction model based on multiple influencing factors during the cruise phase. On this basis, with the goal of maximizing airline revenue, a mixed integer linear optimization model is established for flight scheduling and fleet assignment, which is divided into two scenarios: considering carbon trading costs and not considering carbon trading costs, to optimize the route network. Select the actual operational data of a certain airline in 2019 for verification, the calculation results show that the proposed full process carbon emission calculation model has high accuracy, with a mean error of 1.64%. In the scenario of not considering carbon trading costs, the increase in operating income reached 7.26%; In the scenario of considering carbon trading costs, it is possible to significantly reduce carbon emission costs by 4.71%, while increasing operating profits by 3.28%, achieving dual effect of achieving low-carbon emission reduction optimization and operational revenue improvement for airlines can provide theoretical guidance for their operational strategies.

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  • 收稿日期:2024-07-24
  • 最后修改日期:2024-09-30
  • 录用日期:2024-10-08
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